Build a deep learning model (RNN, LSTM or GRU) using pre-trained Word embeddings
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Get it written →Build a deep learning model (RNN, LSTM or GRU) using pre-trained Word embeddings
Use Lime to interpret your models and perform 2 cycles of empirical tuning on the model
Compare performance (Confusion matrix, AUC) of the model and recommend next steps to improve the model performance
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